Optimal resource dedication in grouped random access for massive Machine-Type Communications

Abstract

The high risk of random access collisions leads to huge challenge for the\ndeployment massive Machine-Type Communications (mMTC), which cannot be\nsufficiently overcome by current solutions in LTE/LTE-A networks such as the\nextended access barring (EAB) scheme. The recently studied approaches of\ngrouped random access have shown a great potential in simultaneously reducing\nthe collision rate and the power consumption in mMTC applications, and exhibit\na good compatibility with the concept of random access resource separation. In\nthis work, we propose an optimized resource dedication strategy for grouped\nrandom access approaches, which inherits the advantage of resource separation\nto isolate device classes from each other, while providing an optional class\npreference with high flexibility and accuracy, which has been usually\nimplemented with access class barring.\n